---
abstract: 'It is argued that due to the complexity of most economic phenomena, the chances of deriving correct models from a priori principles are small. Instead are more descriptive approach to modelling should be pursued. Agent-based modelling is characterised as a step in this direction. However many agent-based models use off-the-shelf algorithms from computer science without regard to their descriptive accuracy. This paper attempts an agent model that describes the behaviour of subjects reported by Joep Sonnemans as accurately as possible. It takes a structure that is compatible with current thinking cognitive science and explores the nature of the agent processes that then match the behaviour of the subjects. This suggests further modelling improvements and experiments.'
altloc:
  - http://www.cpm.mmu.ac.uk/cpmrep54.html
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commentary: ~
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contact_email: ~
creators_id: []
creators_name:
  - family: Edmonds
    given: B.
    honourific: ''
    lineage: ''
date: 1999-09
date_type: published
datestamp: 2000-01-28
department: ~
dir: disk0/00/00/08/40
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editors_id: []
editors_name: []
eprint_status: archive
eprintid: 840
fileinfo: /style/images/fileicons/application_pdf.png;/840/3/tdmass.pdf
full_text_status: public
importid: ~
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item_issues_comment: []
item_issues_count: 0
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item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'induction, strategy, search, computational economics, descriptive modelling, Sonnemans, agent, description, genetic programming, game, auction, modelling methodology, agent-based modelling'
lastmod: 2011-03-11 08:54:20
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longitude: ~
metadata_visibility: show
note: ~
number: ~
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pubdom: FALSE
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refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:35:01
subjects:
  - cog-psy
  - comp-sci-art-intel
  - comp-sci-complex-theory
  - comp-sci-mach-learn
  - phil-sci
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Towards a Descriptive Model of Agent Strategy Search
type: preprint
userid: 192
volume: ~
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